When a buyer asks ChatGPT, Perplexity, Google AI Overviews, or Gemini who the leaders are in your category, the AI does not roll dice. It applies a small set of repeatable signals that determine which brands get cited and which get summarized out of the answer entirely. 5W’s GEO Reckoning research reduced those signals to four. An AI answer engine cites a brand strong on all four. It ignores a brand weak on any one. This post walks through each signal, what it actually requires, and how to audit your own brand against it.
Entity strength is the foundation. It means the AI engine recognizes your brand as a distinct entity in the world — not a string of words, but a thing with a Wikipedia article, a Google Knowledge Panel, consistent structured data across owned and earned properties, and clean disambiguation from similarly named brands. Without entity strength, the other three signals cannot do their job. The retrieval layer simply does not know who you are. Most mid-market brands fail at this signal not because the work is hard, but because no one in the marketing org owns it. Wikipedia hygiene, schema markup, and Knowledge Panel claims still sit in a no-man’s-land between SEO, PR, and IT.
When a buyer asks ChatGPT, Perplexity, Google AI Overviews, or Gemini who the...